Neural Network for Estimate of Organization’s Requirements for Highly Skilled Personnel
This article presents the results of research the needs companies for workers in regions of the Russian Federation, which is based on the use of neural network. There are discrepancy between the actual demand for highly skilled personnel and programs higher education. This situation could have a neg...
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North-West institute of management of the Russian Presidential Academy of National Economy and Public Administration
2018-04-01
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Series: | Управленческое консультирование |
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Online Access: | https://www.acjournal.ru/jour/article/view/388 |
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doaj-bcd963de589a4f40b881ab2a1cc988112021-09-10T11:50:29ZengNorth-West institute of management of the Russian Presidential Academy of National Economy and Public Administration Управленческое консультирование1726-11391816-85902018-04-01086975388Neural Network for Estimate of Organization’s Requirements for Highly Skilled PersonnelMikhail Valeryevich Zaboev0Maria Petrovna Mazyarkina1Saint-Petersburg State UniversitySaint-Petersburg State UniversityThis article presents the results of research the needs companies for workers in regions of the Russian Federation, which is based on the use of neural network. There are discrepancy between the actual demand for highly skilled personnel and programs higher education. This situation could have a negative impact on the development of the regions. The result of the study is forecast the demand for workers for the mining industry in several regions of the country and the proposal to use this method to formation of programs in higher education.https://www.acjournal.ru/jour/article/view/388higher educationregionslabor marketneural networkself-organizing kohonen maps |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Mikhail Valeryevich Zaboev Maria Petrovna Mazyarkina |
spellingShingle |
Mikhail Valeryevich Zaboev Maria Petrovna Mazyarkina Neural Network for Estimate of Organization’s Requirements for Highly Skilled Personnel Управленческое консультирование higher education regions labor market neural network self-organizing kohonen maps |
author_facet |
Mikhail Valeryevich Zaboev Maria Petrovna Mazyarkina |
author_sort |
Mikhail Valeryevich Zaboev |
title |
Neural Network for Estimate of Organization’s Requirements for Highly Skilled Personnel |
title_short |
Neural Network for Estimate of Organization’s Requirements for Highly Skilled Personnel |
title_full |
Neural Network for Estimate of Organization’s Requirements for Highly Skilled Personnel |
title_fullStr |
Neural Network for Estimate of Organization’s Requirements for Highly Skilled Personnel |
title_full_unstemmed |
Neural Network for Estimate of Organization’s Requirements for Highly Skilled Personnel |
title_sort |
neural network for estimate of organization’s requirements for highly skilled personnel |
publisher |
North-West institute of management of the Russian Presidential Academy of National Economy and Public Administration |
series |
Управленческое консультирование |
issn |
1726-1139 1816-8590 |
publishDate |
2018-04-01 |
description |
This article presents the results of research the needs companies for workers in regions of the Russian Federation, which is based on the use of neural network. There are discrepancy between the actual demand for highly skilled personnel and programs higher education. This situation could have a negative impact on the development of the regions. The result of the study is forecast the demand for workers for the mining industry in several regions of the country and the proposal to use this method to formation of programs in higher education. |
topic |
higher education regions labor market neural network self-organizing kohonen maps |
url |
https://www.acjournal.ru/jour/article/view/388 |
work_keys_str_mv |
AT mikhailvaleryevichzaboev neuralnetworkforestimateoforganizationsrequirementsforhighlyskilledpersonnel AT mariapetrovnamazyarkina neuralnetworkforestimateoforganizationsrequirementsforhighlyskilledpersonnel |
_version_ |
1717758312603189248 |